Bloom filters in a flash memory

ABSTRACT

Systems and methods for managing content in a flash memory. A data structure such as a Bloom filter is implemented in flash memory such that updates to the data can be performed by overwriting pages in the memory.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a Continuation of U.S. patent application Ser. No. 15/196,196, filed Jun. 29, 2016, and scheduled to issue as U.S. Pat. No. 10,089,025 on Oct. 2, 2018, which application is incorporated by reference herein.

FIELD OF THE INVENTION

Embodiments of the invention relate to systems and methods for processing large datasets. More particularly, embodiments of the invention relate to data structures in flash memory and to systems and methods for implementing Bloom filters in a flash memory.

BACKGROUND

As the amount of data in computing systems continues to increase, there is a strong desire for improvements that allows the datasets to be efficiently processes. DRAM (Dynamic Random Access Memory) and the like are often too small to efficiently process large data sets. Algorithms that process the data out-or core (using Hard Disk Drives (HDDs) tend to be slow.

One potential solution is to introduce flash memory into the computing systems. Flash memory is faster than HDDs and has the capacity to accelerate dataset analysis. Even though flash memory can improve the processing capability of the computing systems, flash memory has several problems that impact performance.

For example, conventional data structures are designed assuming that random changes or random edits can be performed quickly and without penalty. Flash, memory, however, has a penalty associated with small edits. Small edits in a flash memory require the edited page to be copied forward to a new page. The previous page must be eventually erased before it can be reused. More specifically, data in a used area or page of a flash memory cannot be simply overwritten. Rather, it is necessary to erase the page before writing the data. This is the reason that small edits to a page in the flash memory are simply written as a new page.

This process causes both a performance penalty and a lifespan penalty. This process results in multiple reads and writes (thus the performance penalty). The lifespan penalty occurs because flash memory can only be written or erased a limited number of times before wearing out. Further, flash memory is typically erased in large units.

This creates additional problems when implementing data structures in the flash memory. Every time a change is made to data that is stored in a data structure, there is a potential for multiple writes and erasures. Systems and methods are needed to improve the performance of flash memory and to improve the lifespan of the flash memory.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to describe the manner in which at least some aspects of this disclosure can be obtained, a more particular description will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. Understanding that these drawings depict only example embodiments of the invention and are not therefore to be considered to be limiting of its scope, embodiments of the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings, in which:

FIG. 1 illustrates an example of a computing system that is configured to perform overwrites in a flash memory;

FIG. 2 illustrates an example of a flash memory that is configured to perform overwrites;

FIG. 3 illustrates an example of internal logic for overwriting portions of a flash memory;

FIG. 4 illustrates an example of an external interface for overwriting portions of a flash memory and for locking portions of the flash memory when performing overwrites;

FIG. 5 illustrates an example of a Bloom filter in a flash memory; and

FIG. 6 illustrates another example of a Bloom filter in a flash memory.

DETAILED DESCRIPTION OF SOME EXAMPLE EMBODIMENTS

Embodiments of the invention relate to systems and methods for processing large datasets. Embodiments of the invention further relate to systems and methods for processing large datasets in a flash memory (e.g., SSD (solid state drive)). Embodiments of the invention further relate to systems and methods for controlling or managing flash memory and to interfacing with flash memory. Embodiments of the invention further relate to data structures in a flash memory.

In a conventional flash memory, the ability to set a bit (i.e., change from a logical 0 to a logical 1) may be supported. However, changing a bit from a logical 1 to a logical 0 (unset the bit) is not supported at this level (e.g., the bit level). Rather, it is necessary to erase a larger unit in the flash memory. By way of example, flash memory may be erased in 1 megabyte units. As a result, it is not generally possible to overwrite existing data in flash. Instead, the data is written to a new location (which may have been previously erased) and the old location is marked for erasure. Embodiments of the invention enable overwrites of existing data in some instances and in various data structures. Embodiments of the invention allow data structures to be implemented in flash while reducing the number of associated erasures by overwriting some of the data.

A flash memory may include a controller and an interface (e.g., API (application programming interface)) associated with the flash memory controller. In one example, the logic of the flash memory controller is configured to perform writes to existing data (overwriting the existing data) rather than write the data to a new location and mark the old location for deletion. If necessary, the controller may cause the data to be simply written to a new location. For an overwrite operation, the controller may initially read the previous version of the page or block being written. If the changes being written only result in the setting of more 1s (or changing 0s to 1s), then the existing page or block can be overwritten. If some bits need to be unset (changed from 1s to 0s) in the flash memory, then the write may be performed normally to a new page. During this process (read-check-overwrite), the page or block may be locked.

In another example, an overwrite can be achieved using calls to a flash memory API. Calls include, by way of example, a logical-OR and a Compare-and-Swap.

During a logical-OR call, a client may provide a block of data and an address. The page (or pages depending on the size of the block of data) at that address is modified to the logical OR of its current contents with the provided block. This only requires setting additional bits. As a result, an overwrite may be performed on the current page or pages without the need to write to a new page or pages. The logical OR changes 0s in the target block that correspond to is in the new data to be set. It may not be necessary to perform an OR operation for each bit in the overwrite operation. It may only be necessary to identify the 0s that need to be changed to 1s.

An overwrite may occur in flash memory by performing a logical OR operation. This operation ensures that 1s located in a target block are unaffected while 0s are potentially changed to 1s. The change occurs when the data being overwritten to the target block contains a 1 where the target block contains a 0. A logical OR operation between bits A and B has the possible outcomes:

A B OR Result 0 0 0 0 1 1 1 0 1 1 1 1

A Compare-and-Swap call may be used for locking and thread synchronization when performing overwrites. A client provides the previous version of the block and the new version of the block. More bits are set in the new version. The flash memory, in response to the call, may atomically read the page and compare the read page/block with the previous version provided by the client. If the previous version provided by the client matches the page read from the flash memory, then the page/block is overwritten with the new version provided by the client in the call using, for example, a logical OR. Other compare-and-swap operations to the same page are blocked until the current call completes.

Embodiments of the invention further implement data structures in the flash memory such that the data structure can be updated using overwrites. This prolongs the life of the flash memory by limiting the number of erasures and can improve the performance of the flash memory. Examples of data structures include, but are not limited to, Bloom filters, linked lists, hash tables, locking data structures, trees, graphs, and the like or combinations thereof.

FIGS. 1-4 describe a flash memory and examples of logic and calls that may be used to perform an overwrite. FIG. 1 illustrates an example of a computing system that includes a flash memory and that enables pages to be overwritten from an internal perspective and an external perspective. Overwrites to existing pages (without erasing the data first) can be achieved using internal logic. An external interface, which provides access to an API, allows similar abilities to be invoked by a client. As discussed herein changing a bit from 0 to 1 is setting a bit and changing a bit from 1 to 0 is unsetting a bit. Unsetting bits can typically only be performed by erasing an erasure unit at a time and an erasure unit may include multiple pages.

FIG. 1 illustrates a computing system 100 that includes processors 102, DRAM 104, flash memory 106, and storage 114. The computing system 100 may be configured to provide computing services such as backup services, document management, contact management, or the like. The computing system 100 can be formed of network connected devices or may be implemented as an integrated unit. The computing system 100 can be connected to a computing network.

The storage 114 may include various hardware storage devices (e.g., magnetic, optical, etc.) such as HDDs. The storage 114 can be arranged in different manners. The DRAM 104 and the flash 106 can be used as caches in the computing system 100. The DRAM, which is the fastest memory, is typically smaller than the flash memory 106. The flash memory 106 is typically smaller than the storage 114. In other embodiments, the flash 106 may be the primary storage and the storage 114 could be omitted. The flash memory 106 can be large (e.g., terabytes or larger). The computing system 100 may be configured for processing large data sets such as backup data, data lake data, or the like.

The flash memory 106 is associated with a flash controller 108 and a flash API 110. The flash controller 108 typically controls operations occurring within the flash 106 and may include its own processor and memory. The flash API 110 allows clients to make specific calls to the flash memory 106, which may be executed by the flash controller 108. The client may be any device or component (e.g., processor, memory controller, process) that interacts with the flash memory 106.

The flash controller 108 is associated with logic 112 that may be configured to interact with the data stored in the flash memory 106. The logic 112, for example, may perform overwrites, logical-ORs, compare-and-swaps, or the like.

FIG. 2 illustrates an example of a flash memory and illustrates how data may be arranged in the flash memory. FIG. 2 illustrates a flash memory 200, which is an example of the flash memory 106 shown in FIG. 1. The flash memory 200 includes erasure units, such as erasure units 202 and 212. Each erasure unit is associated with pages. Pages 204, 206, 208, and 210 are associated with the erasure unit 202 and the pages 214, 216, 218, and 220 are associated with the erasure unit 212. One of skill in the art can appreciate that the flash memory is typically much larger than illustrated.

The pages 204, 206, 208, and 210 are smaller than the erasure unit 202. By way of example only, the pages 204, 206, 208, and 210 may be 4 KB each. The erasure units 202 and 212 may be 1 MB each. Data stored in the flash memory 200 may also be arranged in containers or using other storage arrangements. However, when data is written to the flash memory 200, the data is written in pages and the pages are usually written in sequence.

In order to overwrite a page in a conventional flash, it is necessary to erase all pages in the erasure unit before writing the pages in the newly erased erasure unit or write the new page to a new location. For example, the page 208 includes data. Because the page 208 contains data, a conventional flash cannot simply write new data to the page 208. Rather, it is necessary to erase all pages 204, 206, 208, and 210 in the erasure unit 202 before new data can be written to the page 208. In fact, all pages in the erasure unit 202 would be erased. The new data could alternatively be written to a new location and the existing page or erasure unit marked for erasure.

Embodiments of the invention, in contrast, allow data to be written to the page 208 by performing an overwrite operation. In particular, embodiments of the invention allow data to be written to the page 208 or any other page in the erasure unit 202 as long as the write makes no changes so specific cells (or bits) become unset, but only changes 0 bits to is. This is because the flash memory 200 may allow more electrons to be stored in an individual cell (representing one bit) thus semantically changing the value from 0 to 1. Reducing the electrons to change a 1 to a 0, however, involves erasing an entire erasure unit due to the hardware constraints. Thus, data such as 0 0 0 0 can be overwritten as 0101 because only 0s are being changed to 1 s. An overwrite is not permitted when attempting to change 1110 to 0010 because this involves changing is to 0s for this type of flash memory. In this case when changing is to 0s, it may be necessary to follow conventional flash memory writing procedures, which may involve writing the data to a new page and erasing the pages in the erasure unit.

FIG. 3 illustrates an example of a flash memory that includes a controller and illustrates an example of logic associated with performing an overwrite in the flash memory. FIG. 3 illustrates that the flash memory 300 may receive a write block 302 from a client (e.g., a thread, process, or the like). When the write block 302 is received, the controller may perform controller logic 304 to perform the write operation in the flash memory 300.

The write operation may include performing a method 310. The write block 302 may write to more than one page in the flash memory 300. In box 312, the controller 320 may read the target block 306. The target block 306 may be, by way of example, a previous version of the write block 302. The target block 306 may be located at a destination address included in the write request received along with the write block 302.

After reading the target block 306, the controller 320 may compare the target block 306 with the write block 302. The result of the comparison determines, in one example, whether the target block 306 can be overwritten with the write block 302 or whether the write block is written to a new location as the new block 308. The comparison may identify which bits need to be changed from 0s to 1s.

In one example, if the comparison in box 314 determines that writing the write block 302 to the target block 306 would only set bits from 0 to 1, then the target block 306 is overwritten with the write block 302 in box 316. If the comparison determines that it is necessary to reset is to 0s, then the write block 302 is written to a new location as the new block 308 in box 318. The target block 306 may be marked for deletion or erasure.

The logic performed in the method 310 is internal to the flash memory 300 in this example. The client associated with the write operation may not be aware of the overwrite method performed in the flash memory 300.

During the method 310 and in particular while reading the target block, comparing the target block with the write block and overwriting the target block, the page or pages associated with the target block are locked at 320 so that another client does not interfere with the method 310. A lock may be used during the overwrite method 310. The controller 320 may set aside some memory to track which regions of the flash memory 300 are locked.

FIG. 4 illustrates an example of an external interface for overwrites in a flash memory. FIG. 4 illustrates a flash memory 400, which is an example of the flash memory 106 in FIG. 1. The flash memory 400 includes a controller 406 and an API 408. The API 408 includes calls 410 including, by way of example, a logical-OR 412 and a Compare and Swap 414.

In contrast to the internal logic illustrated in FIG. 3, the API allows a client to explicitly call the API 408. The logical-OR call 412 allows a client 402 to provide a block of data and an address 404. A logical OR is performed between the page or pages at the address provided in the client request 402 with the block 416 at the specified address. This call compares or performs a logical OR with each respective bit. A logical OR has the property that it never changes a one to a zero, but zeros may be changed to one if they are ORed with a one. This operation is an overwrite that potentially replaces 0s in the block 416 to 1s. The client may be aware, prior to making the call, that the necessary updates to the block 416 can be achieved with the logical OR operation. Depending on hardware capabilities, a logical OR operation may not require an OR operation for each bit. Rather, the logical OR effectively changes 0s in to the block 416 to is based on the contents of the block provided in the client request 402. Thus, the logical OR may simply identify the bits to be changed to is and make those changes. If the hardware is configures such that an entire page is written at a time, then the page is written such that the relevant 0s are changed to 1s.

The compare and swap call 414 can be used for locking and for thread synchronization when performing overwrites. When making a compare and swap call 414, the client may provide a previous version of a block and a new version of the block. The new version may have new bits set. The controller 406 may then compare the previous version included in the request with the block 416 to insure that another client has not changed the block. If the comparison is equal, the block 416 can be overwritten (e.g., by using logical-OR operation) with the new version included in the client request 402. Other callers attempting to impact or alter block 416 will be blocked until these compare and swap operation completes. Thus, the controller 406 may also lock locations in the flash memory 400 that are being updated or changed in accordance with the controller logic or API calls 410.

The calls and logic discussed herein may be implemented with computer executable instructions and the controller 406 and/or the flash memory 400 are examples of a computing device. The calls and logic discussed herein may also be used when interacting (e.g., read/write/update) with data structures implemented in a flash memory.

FIG. 5 illustrates an example of a Bloom filter implemented in a flash memory. A Bloom filter 500 is an example of a probabilistic data structure. A Bloom filter 500 can be used to test whether an element is a member of a set. A Bloom filter, for example, can be used when deduplicating data in a memory or to determine whether certain content is stored in a certain memory, or the like. Bloom filters may also be used when performing garbage collection in a flash memory or other storage. A Bloom filter may return a false positive. A negative result, however, ensures that the element is not included in the set.

In one example, the Bloom filter 500 is implemented as a bit vector 506. The bit vector 506 may include a predetermined number of pages where each page may be, by way of example only, 4 k. The size of the page may depend on the size used when writing to the flash memory. As previously stated, writes may be performed by page while erasures are performed by erasure unit.

In one example, the bit vector 506 may include 6 pages, but may include more or less pages. When the bit vector 506 is initiated, all of the bits are unset and thus have a value of a logical 0.

When an insertion is made to the bit vector 506 of the Bloom filter 500, multiple functions such as function 502 are applied to a key 504. The output of the function 502 may reference certain bits in the Bloom filter 500. All bits in the bit vector 506 referenced by the function 502 can be set to 1. Over time and as more insertions are made using different keys to the Bloom filter, more bits are set to 1. For example, every time a data segment is added to a memory or to a cache, an insertion may be made to the Bloom filter 500. The Bloom filter 500 can thus be used to determine whether a certain data segment is in the memory or cache with high probability.

When a lookup is performed in the Bloom filter 500, the key likely exists in the set when all of the bits referenced by the function applied to the key are set to 1. If even one bit is set to 0, however, then the key definitely does not exist in the set.

FIG. 5 can illustrate both a lookup and an insertion. When an insertion is performed, the functions such as the function 502 are applied to the key 504, all bits output by the functions or corresponding to these functions are set. When a lookup is performed based on the key 504, the bits identified by the functions are checked to see if they are set to 1. If any of the bits are 0, then the key does not exist in the Bloom filter 500.

For example, assume that a key has a value of 11. During an insertion, the functions g(11) and h(11) produce values of 10 and 24. Thus, bits 10 and 24 in the Bloom filter 500 are set to 1. During a lookup, the values of bits 10 and 24 are checked. If the bits 10 and 24 are both 1, then the lookup suggests that the key is likely included in the set. If either of the bits 10 and 24 is 0, then the key is not included in the set.

The Bloom filter 500 is implemented in a flash memory. When new values are added to the Bloom filter, the relevant pages of the Bloom filter are overwritten. Because this involves only sets or changing 0s to 1s, a logical OR or a compare and swap can be used to overwrite the relevant portion (e.g., page or pages) of the Bloom filter 500.

Assuming that FIG. 5 illustrates an insertion and that the key points to cells or bits in pages 508, 510, and 512, then the pages 508, 510, and 512 are overwritten. For example, a logical OR can be performed if necessary on these pages.

Because the write may only affect a single bit in the page 508, the contents of the page 508 may be logically ORed with a page where only the relevant bit is set to 1. Stated differently, the logical OR may only change 0s that correspond to the locations identified by the key 504 to 1s. As a result, only the bit associated with the key 504 in the page 508 is set and the other bits in the page 508 are unchanged. The pages 510 and 512 are similarly overwritten. This can be achieved by internal logic of the flash memory or by issuing a logical OR call or a compare and swap call. The pages may also be locked during the update of the Bloom filter 500. Iteratively setting bits in a Bloom filter can be achieved by overwriting pages of the Bloom filter 500 during insertions.

Implementing a Bloom filter conventionally would require new pages to be written for every insertion and old pages marked for deletion. This would significantly degrade performance, fragment the Bloom filter, and reduce the life of the flash memory.

FIG. 6 illustrates another example of updating a Bloom filter that is implemented in a flash memory. Generally, insertions into the Bloom filter 606 which is an example of the Bloom filter 500, can be batched and written periodically. This reduces the number of overwrites as multiple bits in a page can be set during the same overwrite when the batch update is performed.

Similarly, lookups can also be batched. The lookup requests can be batched and the offsets into the Bloom filter can be sorted. This allows the lookup requests to be performed sequentially in the flash memory.

FIG. 6 illustrates a record 602 that is in memory. The record is used to store updates to the Bloom filter. The memory includes, in this example, buckets 604 (6 in this example). In this example, the third bucket 612 is empty and the fourth bucket 610 is full. Each of the buckets 604 may include a fixed number of offset entries. Each offset entry may identify a location or bit in the Bloom filter 606. For example, the first bucket may include offsets to bits in the first page of the Bloom filter 606. Entries in the buckets may be created in the following manner, as one example implementation. When a new key or element needs to be inserted into the Bloom filter, the function (e.g., the function 502) is calculated to determine the bits in the Bloom filter that need to be set to 1. The offsets for those bits are recorded in the buckets by taking each offset and dividing by a fixed range covered by each bucket to determine which bucket will store the record. The bucket range can be designed to span a corresponding page in flash. As an example, if each page in flash is 4096 bytes it has 32,768 bits, then an offset of 0 through 32,767 will be recorded in the first bucket, and an offset of 32,768 through 65,535 will be recorded in the second bucket.

When a bucket in the record 602 is full, the updates can be applied to the corresponding page in the Bloom filter 606. In this example, the page 608 is updated with the updates contained in the bucket 610. Because an update or insertion only sets bits (changes 0s to 1s), the page 608 can be overwritten using the calls or logic discussed herein. This causes the Bloom filter 606 to be updated. The bucket 610 can then be cleared if necessary.

The embodiments disclosed herein may include the use of a special purpose or general-purpose computer including various computer hardware or software modules, as discussed in greater detail below. A computer may include a processor and computer storage media carrying instructions that, when executed by the processor and/or caused to be executed by the processor, perform any one or more of the methods disclosed herein.

As indicated above, embodiments within the scope of the present invention also include computer storage media, which are physical media for carrying or having computer-executable instructions or data structures stored thereon. Such computer storage media can be any available physical media that can be accessed by a general purpose or special purpose computer.

By way of example, and not limitation, such computer storage media can comprise hardware such as solid state disk (SSD), RAM, ROM, EEPROM, CD-ROM, flash memory, DRAM, phase-change memory (“PCM”), or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other hardware storage devices which can be used to store program code in the form of computer-executable instructions or data structures, which can be accessed and executed by a general-purpose or special-purpose computer system to implement the disclosed functionality of the invention. Combinations of the above should also be included within the scope of computer storage media. Such media are also examples of non-transitory storage media, and non-transitory storage media also embraces cloud-based storage systems and structures, although the scope of the invention is not limited to these examples of non-transitory storage media.

Computer-executable instructions comprise, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts disclosed herein are disclosed as example forms of implementing the claims.

As used herein, the term ‘module’ or ‘component’ can refer to software objects or routines that execute on the computing system. The different components, modules, engines, and services described herein may be implemented as objects or processes that execute on the computing system, for example, as separate threads. While the system and methods described herein can be implemented in software, implementations in hardware or a combination of software and hardware are also possible and contemplated. In the present disclosure, a ‘computing entity’ may be any computing system as previously defined herein, or any module or combination of modules running on a computing system.

In at least some instances, a hardware processor is provided that is operable to carry out executable instructions for performing a method or process, such as the methods and processes disclosed herein. The hardware processor may or may not comprise an element of other hardware, such as the computing devices and systems disclosed herein. A controller may include a processor and memory and/or other computing chips.

In terms of computing environments, embodiments of the invention can be performed in client-server environments, whether network or local environments, or in any other suitable environment. Suitable operating environments for at least some embodiments of the invention include cloud computing environments where one or more of a client, server, or target virtual machine may reside and operate in a cloud environment.

The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. The described embodiments are to be considered in all respects only as illustrative and not restrictive. The scope of the invention is, therefore, indicated by the appended claims rather than by the foregoing description. All changes which come within the meaning and range of equivalency of the claims are to be embraced within their scope. 

What is claimed is:
 1. A method for implementing a Bloom filter in a flash memory, the method comprising: establishing a Bloom filter in the flash memory, wherein the Bloom filter includes a plurality of pages and wherein all bits in the Bloom filter are initially unset; storing a record in memory, wherein the memory is separate from the flash memory, the record including a plurality of entries, each entry corresponding to a portion of the Bloom filter; when one of the plurality of entries in the record is full, identifying bits to be set in the Bloom filter from the full entry; overwriting the portion of the Bloom filter corresponding to the full entry in the record in order to set the identified bits.
 2. The method of claim 1, further comprising, when one of the plurality of entries in the record is full, identifying all bits in all of the plurality of entries in the record to be set in the Bloom filter and overwriting the portion of the Bloom filter corresponding to all entries in the record.
 3. The method of claim 1, further comprising performing garbage collection using the Bloom filter.
 4. The method of claim 1, further comprising performing deduplication of data using the Bloom filter.
 5. The method of claim 1, further comprising making a call to the flash memory to perform the overwriting, wherein the call is specified by a client such that the client controls how the overwriting is performed.
 6. The method of claim 5, wherein the call includes one of a logical OR or a Compare and Swap overwrite operation.
 7. The method of claim 1, wherein each entry in the record corresponds to a page in the flash memory.
 8. A method for implementing a Bloom filter in a flash memory, the method comprising: establishing a Bloom filter in the flash memory, wherein the Bloom filter includes a plurality of pages and wherein all bits in the Bloom filter are initially unset; storing a record in memory that is separate from the flash memory, wherein the record is configured to store updates to the Bloom filter in a plurality of entries, each entry corresponding to a portion of the Bloom filter; identifying bits in the record to be set in the Bloom filter from the plurality of entries in a batch update; overwriting the portion of the Bloom filter corresponding to identified bits in the record during a batch update in order to set the identified bits in the Bloom filter.
 9. The method of claim 8, wherein the identified bits include at least bits in an entry in the record that is full, further comprising, overwriting the portion of the Bloom filter corresponding to all entries in the record.
 10. The method of claim 9, further comprising clearing the identified bits from the record.
 11. The method of claim 8, further comprising performing garbage collection using the Bloom filter or a deduplication operation using the Bloom filter.
 12. The method of claim 8, further comprising sorting pluralities of entries in the record.
 13. The method of claim 8, wherein the plurality of entries each include an offset and each entry includes a bucket that is associated with a portion of the Bloom filter.
 14. The method of claim 8, further comprising, when a new element is to be inserted into the Bloom filter, determining bits to set in the Bloom filter and recording those bits in the record.
 15. The method of claim 8, further comprising making a call to the flash memory to perform the overwriting, wherein the call is specified by a client such that the client controls how the overwriting is performed.
 16. The method of claim 15, wherein the call includes one of a logical OR or a Compare and Swap overwrite operation.
 17. The method of claim 8, wherein each entry in the record corresponds to a page in the flash memory.
 18. A method for implementing a data structure in a flash memory, the method comprising: establishing a data structure in the flash memory, wherein the data structure includes a plurality of pages of the flash memory and wherein all bits in the data structure are initially unset; storing a record in memory that is separate from the flash memory, wherein the record is configured to store updates to the data structure in a plurality of entries, each entry corresponding to a portion of the data structure; identifying bits in the record to be set in the data structure from the plurality of entries in a batch update; overwriting the portion of the data structure corresponding to identified bits in the record during a batch update in order to set the identified bits in the Bloom filter.
 19. The method of claim 18, wherein the data structure is one of a Bloom filter, a linked list, a hash table, a locking data structure, a tree, or a graph.
 20. The method of claim 18, wherein the portion of the data structure corresponds to a page of the flash memory. 